PPT-Part 4: Knowledge Graph 1

Knowledge Graph Representing Data Linking Data Searching Data Main Issues A knowledge graph is a special kind of database which stores knowledge in a machinereadable form and provides a means for information to be collected organised shared searched and utilised . We call the tail of the head of and uv the ends of If there is an edge with tail and head then we let uv denote such an edge and we say that this edge is directed from to Loops Parallel Edges and Simple Digraphs An edge uv in a digraph is a Knowledge by description We know of by description if we know a descrip tion and we know that there is just one object to which this description applies where the description is composed entirely of terms with whose referents we are acquainted Since and Answer . Inference . for . Telegraphic Entity-seeking . Queries. EMNLP 2014. Mandar Joshi. Uma Sawant. Soumen Chakrabarti. IBM Research. IIT Bombay, Yahoo Labs. IIT Bombay. mandarj90@in.ibm.com. uma@cse.iitb.ac.in. P. artitioning. a. nd. . Clustering for. Community . Detection. . Presented By: Group One. 1. Outline. Introduction:  . Hong . Hande. Graph Partitioning: . Muthu. Kumar . C . and . Xie . Shudong. Wei Wang. Department of Computer Science. Scalable Analytics Institute. UCLA. weiwang@cs.ucla.edu. Graphs/Networks. FFSM (ICDM03), SPIN (KDD04),. GDIndex. (ICDE07). MotifMining. (PSB04, RECOMB04, ProteinScience06, SSDBM07, BIBM08). Hamid. . Alaei. (Vertex) Coloring of a graph . G = (V,E) . is a map function . c. . : V → C. C. : set of colors. for every edge . vw. ∈ E: c(v) ≠ c(w). .. chromatic number . χ(G). is the minimal number of colors needed in a coloring of . Using graph theory to solve games and problems. Dr. Carrie Wright. University of Arizona. Teacher’s Circle. November 17, 2011. BRIDGES OF KONIGSBERG. In Konigsberg, East Prussia, a river runs through the city such that in its center is an island, and after passing the island, the river broke into two parts. Seven bridges were built so that the people of the city could get from one part to another. . Part II. Description Logic . & . Introduction to Protégé. Jan Pettersen Nytun. 1. The Semantic . Web. Knowledge Representation Part II, JPN, UiA. 2. ". The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.“. Denis Krompaß. 1. , Xueyan Jiang. 1. ,Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. Department of Computer Science. Ludwig Maximilian . 2. University, . Oettingenstraße. 67, 80538 Munich, Germany. Image Source: . www.ibm.com/smarterplanet/us/en/ibmwatson. /. Kundan Kumar Siddhant Manocha. MOTIVATION. Image Source: KDD . 2014 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, New York. by. Claude Asamoah, . Lixin. Tao, . Keke. . Gai. , and Ning . Jiang. Pace University . Research Day . Conference. May 6. th. 2016. Introduction. Cyber Security breaches and attacks are on the ascendancy as corporations, governments, universities, and private individuals are conducting their business and personal transactions on the . Slot Filling based on Knowledge Graph and Truth Finding Dian Yu, Haibo Li, Hongzhao Huang and Heng Ji Computer Science Department Rensselaer Polytechnic Institute {yud2 , jih}@rpi.edu November 18, 2013 for. and . from . Open Data . Axel Polleres. Joint . work. . with. : Sebastian Neumaier, Jürgen Umbrich. What is a Knowledge Graph?. What is Open Data?. How do they connect?. 2 applications for using Knowledge Graphs & Linked Data for . Graph. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Online in 2007. Acquired by Google in 2010. Read-only in 2014. Basis for Google Knowledge Graph.